Instructions to use InvokeAI/FLUX.1-Krea-dev-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InvokeAI/FLUX.1-Krea-dev-GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InvokeAI/FLUX.1-Krea-dev-GGUF", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Q8 Quant
#1
by MarcusLlewellyn - opened
I've noticed a definite superior difference in detail after baking a Q8_0 GGUF of Flux.1 Krea, and it should fit nicely on those with VRAM of 16GB or higher. Offering this as a choice might be beneficial to those users. π